Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget
A standardized approach for the definition, propagation, and reporting of uncertainty in the ozone differential absorption lidar data products contributing to the Network for the Detection for Atmospheric Composition Change (NDACC) database is proposed. One essential aspect of the proposed approach...
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Language: | English |
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Copernicus Publications
2016-08-01
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Series: | Atmospheric Measurement Techniques |
Online Access: | http://www.atmos-meas-tech.net/9/4051/2016/amt-9-4051-2016.pdf |
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author | T. Leblanc R. J. Sica J. A. E. van Gijsel S. Godin-Beekmann A. Haefele T. Trickl G. Payen G. Liberti |
author_facet | T. Leblanc R. J. Sica J. A. E. van Gijsel S. Godin-Beekmann A. Haefele T. Trickl G. Payen G. Liberti |
author_sort | T. Leblanc |
collection | DOAJ |
description | A standardized approach for the definition, propagation, and
reporting of uncertainty in the ozone differential absorption lidar data
products contributing to the Network for the Detection for Atmospheric
Composition Change (NDACC) database is proposed. One essential aspect of the
proposed approach is the propagation in parallel of all independent
uncertainty components through the data processing chain before they are
combined together to form the ozone combined standard uncertainty.
<br><br>
The independent uncertainty components contributing to the overall budget
include random noise associated with signal detection, uncertainty due to
saturation correction, background noise extraction, the absorption
cross sections of O<sub>3</sub>, NO<sub>2</sub>, SO<sub>2</sub>, and O<sub>2</sub>, the molecular
extinction cross sections, and the number densities of the air, NO<sub>2</sub>,
and SO<sub>2</sub>. The expression of the individual uncertainty components and
their step-by-step propagation through the ozone differential absorption
lidar (DIAL) processing chain are thoroughly estimated. All sources of
uncertainty except detection noise imply correlated terms in the vertical
dimension, which requires knowledge of the covariance matrix when the lidar
signal is vertically filtered. In addition, the covariance terms must be
taken into account if the same detection hardware is shared by the lidar
receiver channels at the absorbed and non-absorbed wavelengths.
<br><br>
The ozone uncertainty budget is presented as much as possible in a generic
form (i.e., as a function of instrument performance and wavelength) so that
all NDACC ozone DIAL investigators across the network can estimate, for
their own instrument and in a straightforward manner, the expected impact of
each reviewed uncertainty component. In addition, two actual examples of
full uncertainty budget are provided, using nighttime measurements from the
tropospheric ozone DIAL located at the Jet Propulsion Laboratory (JPL) Table Mountain Facility,
California, and nighttime measurements from the JPL stratospheric ozone DIAL
located at Mauna Loa Observatory, Hawai'i. |
first_indexed | 2024-12-12T10:59:20Z |
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id | doaj.art-4b14b0b8b688482a9b615542af6a1792 |
institution | Directory Open Access Journal |
issn | 1867-1381 1867-8548 |
language | English |
last_indexed | 2024-12-12T10:59:20Z |
publishDate | 2016-08-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Atmospheric Measurement Techniques |
spelling | doaj.art-4b14b0b8b688482a9b615542af6a17922022-12-22T00:26:34ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482016-08-01984051407810.5194/amt-9-4051-2016Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budgetT. Leblanc0R. J. Sica1J. A. E. van Gijsel2S. Godin-Beekmann3A. Haefele4T. Trickl5G. Payen6G. Liberti7Jet Propulsion Laboratory, California Institute of Technology, Wrightwood, CA 92397, USADepartment of Physics and Astronomy, The University of Western Ontario, London, CanadaRoyal Netherlands Meteorological Institute (KNMI), Bilthoven, the NetherlandsLATMOS-IPSL, CNRS-INSU, Paris, FranceMeteoswiss, Payerne, SwitzerlandKarlsruher Institut für Technologie, IMK-IFU, Garmisch-Partenkirchen, GermanyObservatoire des Sciences de l'Univers de La Réunion, CNRS and Université de la Réunion (UMS3365), Saint Denis de la Réunion, FranceISAC-CNR, Via Fosso del Cavaliere 100, 00133 Rome, ItalyA standardized approach for the definition, propagation, and reporting of uncertainty in the ozone differential absorption lidar data products contributing to the Network for the Detection for Atmospheric Composition Change (NDACC) database is proposed. One essential aspect of the proposed approach is the propagation in parallel of all independent uncertainty components through the data processing chain before they are combined together to form the ozone combined standard uncertainty. <br><br> The independent uncertainty components contributing to the overall budget include random noise associated with signal detection, uncertainty due to saturation correction, background noise extraction, the absorption cross sections of O<sub>3</sub>, NO<sub>2</sub>, SO<sub>2</sub>, and O<sub>2</sub>, the molecular extinction cross sections, and the number densities of the air, NO<sub>2</sub>, and SO<sub>2</sub>. The expression of the individual uncertainty components and their step-by-step propagation through the ozone differential absorption lidar (DIAL) processing chain are thoroughly estimated. All sources of uncertainty except detection noise imply correlated terms in the vertical dimension, which requires knowledge of the covariance matrix when the lidar signal is vertically filtered. In addition, the covariance terms must be taken into account if the same detection hardware is shared by the lidar receiver channels at the absorbed and non-absorbed wavelengths. <br><br> The ozone uncertainty budget is presented as much as possible in a generic form (i.e., as a function of instrument performance and wavelength) so that all NDACC ozone DIAL investigators across the network can estimate, for their own instrument and in a straightforward manner, the expected impact of each reviewed uncertainty component. In addition, two actual examples of full uncertainty budget are provided, using nighttime measurements from the tropospheric ozone DIAL located at the Jet Propulsion Laboratory (JPL) Table Mountain Facility, California, and nighttime measurements from the JPL stratospheric ozone DIAL located at Mauna Loa Observatory, Hawai'i.http://www.atmos-meas-tech.net/9/4051/2016/amt-9-4051-2016.pdf |
spellingShingle | T. Leblanc R. J. Sica J. A. E. van Gijsel S. Godin-Beekmann A. Haefele T. Trickl G. Payen G. Liberti Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget Atmospheric Measurement Techniques |
title | Proposed standardized definitions for vertical resolution and uncertainty in
the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL
uncertainty budget |
title_full | Proposed standardized definitions for vertical resolution and uncertainty in
the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL
uncertainty budget |
title_fullStr | Proposed standardized definitions for vertical resolution and uncertainty in
the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL
uncertainty budget |
title_full_unstemmed | Proposed standardized definitions for vertical resolution and uncertainty in
the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL
uncertainty budget |
title_short | Proposed standardized definitions for vertical resolution and uncertainty in
the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL
uncertainty budget |
title_sort | proposed standardized definitions for vertical resolution and uncertainty in the ndacc lidar ozone and temperature algorithms part 2 ozone dial uncertainty budget |
url | http://www.atmos-meas-tech.net/9/4051/2016/amt-9-4051-2016.pdf |
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